Current computational models of smooth-pursuit eye movements assume that the primary visual input is local retinal-image motion (often referred to as retinal slip). However, we show that humans can pursue object motion with considerable accuracy, even in the presence of conflicting local image motion. This finding indicates that the visual cortical area(s) controlling pursuit must be able to perform a spatio-temporal integration of local image motion into a signal related to object motion. We also provide evidence that the object-motion signal that drives pursuit is related to the signal that supports perception. We conclude that current models of pursuit should be modified to include a visual input that encodes perceived object motion and not merely retinal image motion. Finally, our findings suggest that the measurement of eye movements can be used to monitor visual perception, with particular value in applied settings as this non-intrusive approach would not require interrupting ongoing work or training.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Visual Input Driving Human Smooth-Pursuit Eye Movements


    Contributors:
    L. S. Stone (author) / B. R. Beutter (author) / J. Lorenceau (author)

    Publication date :

    1996


    Size :

    14 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    On the Visual Input Driving Human Smooth-Pursuit Eye Movements

    Stone, Leland S. / Beutter, Brent R. / Lorenceau, Jean | NTRS | 1996


    Visuomotor Velocity Transformations for Smooth Pursuit Eye Movements

    Blohm, Gunnar / Lefèvre, Philippe | BASE | 2010

    Free access

    Motion integration is anisotropic during smooth pursuit eye movements

    Souto, David / Chudasama, Jayesha / Kerzel, Dirk et al. | BASE | 2019

    Free access